Information Analysis Software

Yellowfin provides developers with the tools to easily build stunning analytical applications. Connect and blend multiple data sources and deploy onto any environment at scale, with access to hundreds of web services to integrate as you need. Yellowfin offers industry leading capabilities that are trusted by thousands of organizations globally.
Try Yellowfin for free to see how easily you can develop killer analytical applications.

Easily combine data from multiple sources to build dashboards and reports with our scalable solution built for mid-size to enterprise companies.

Pyramid combines analytic tools often found in separate applications. It features a graphically based ETL to model data and incorporate machine learning algorithms, intuitive data discovery tools that produce simple and advanced visualizations, a presentation builder for creating analytic applications and presentations, and an enterprise-grade report builder—all in a single, integrated platform that can be accessed from any browser or device.

SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX...
This is not an end-user GUI trading or charting application. It is instead targeted to application developers using either Excel, .NET, Mono, Java, Perl, Python or C/C++.

Discover and troubleshoot application dependencies to determine if it’s an application or network problem with SolarWinds Server & Application Monitor

Server and Application Monitor helps you discover application dependencies to help identify relationships between application servers. Drill into those connections to view the associated network performance such as latency and packet loss, and application process resource utilization metrics such as CPU and memory usage. Determine if process utilization or network performance is affecting the application and end-user performance.

Xplico is a Network Forensic Analysis Tool (NFAT).
The goal of Xplico is extract from an internet traffic capture the applications data contained. For example, from a pcap file Xplico extracts each email (POP, IMAP, and SMTP protocols), all HTTP contents, each VoIP call (SIP, MGCP, MEGACO, RTP), IRC, WhatsApp...
Xplico is able to classify more than 140 (application) protocols.
Xplico cam be used as sniffer-decoder if used in "live mode" or in conjunction with netsniff-ng.
Xplico is used also in CapAnalysis: http://www.capanalysis.net

The Modular toolkit for Data Processing (MDP) is a Python data processing framework.
From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures.
From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library.
The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.

Our platform was built with simplicity at the forefront, so developers can build and deploy with ease.

DigitalOcean's predictable format removes infrastructure friction and allows developers more time to build software customers love. Easily deploy, manage, and scale applications of any size. DigitalOcean also provides the support you need with hundreds of in-depth tutorials and an active online community.

Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.

Transana is a cross-platform tool for the transcription and qualitative analysis of audio and video data. It also provides the ability to identify and organize analytically interesting portions of videos, as well as attach keywords to those video clips.

Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr).
It provides various tools for:
- data analysis
- sampling
- statistical modeling
- optimisation
- sensitivity analysis
- uncertainty analysis
- running code on high performance computers
- etc.
Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python.
Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request).
Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us.

File-Spector is a small, fast and easy to use binary file analyzer and Inspector.
It allows the users to format a complete binary file structure and then use it to read any binary file that matches the specified format.

sarface is a user-interface to the sysstat/sar database which inputs data from sar and plots to a live X11 graph via gnuplot. It mimics the cmd-line options from sar but can cross-plot any two or more stats and apply simple mathematical functions them.

This is a Python-based efficient implementation of several semantic similarity measures.
The target is to enable fast and easy calculation of similarity between proteins and genes using the Gene Ontology (GO).

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